Oscar Leonardo García-Navarrete

TL;DR: The different technologies available to acquire the images and their use for the non-destructive inspection of the internal and external features of these products are explained, with details of the statistical techniques most commonly used for this task.

TL;DR: In this paper, a computer vision system mounted on a mobile platform where workers place the harvested fruits, that was specially designed for sorting fruit in the field, was used to analyze fruit color and size at a speed of eight fruits per second.

TL;DR: A computer vision system installed on a harvesting machine developed jointly by IVIA and a Spanish enterprise is described in this article, where hand pickers directly drop the fruit as they collect it, which results in an important increase of productivity.

TL;DR: In this article, the authors carried out preliminary studies of drying of natural coffee by implementing a cyclic pressure changes (CPCD) dryer, comparing it with solar drying and with a mechanical drying system by forced convection of low-temperature air.

TL;DR: A detailed selection of IoT technologies for the design of an ambient humidity monitoring infrastructure to control crop irrigation and the possibility of remote connection with the LoRa protocol and the handling and management of information from different crop areas through the GUI on the Raspberry Pi are presented.